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Trends of Data Science and Applications

Theory and Practices

Specificaties
Paperback, blz. | Engels
Springer Nature Singapore | e druk, 2022
ISBN13: 9789813368170
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Juridisch :
Springer Nature Singapore e druk, 2022 9789813368170
Verwachte levertijd ongeveer 9 werkdagen

Samenvatting

This book includes an extended version of selected papers presented at the 11th Industry Symposium 2021 held during January 7–10, 2021. The book covers contributions ranging from theoretical and foundation research, platforms, methods, applications, and tools in all areas. It provides theory and practices in the area of data science, which add a social, geographical, and temporal dimension to data science research. It also includes application-oriented papers that prepare and use data in discovery research. This book contains chapters from academia as well as practitioners on big data technologies, artificial intelligence, machine learning, deep learning, data representation and visualization, business analytics, healthcare analytics, bioinformatics, etc. This book is helpful for the students, practitioners, researchers as well as industry professional.

Specificaties

ISBN13:9789813368170
Taal:Engels
Bindwijze:paperback
Uitgever:Springer Nature Singapore

Inhoudsopgave

NLP for Sentiment Computation.- Productizing an Artificial Intelligence solution for Intelligent Detail Extraction- Synergy of Symbolic and Sub-symbolic Artificial Intelligence techniques.- Digital Consumption Pattern and Impacts of Social Media: Descriptive Statistical Analysis.- Applicational Statistics in Data Science & Machine Learning.- Evolutionary algorithms based machine learning models.- Application to Predict the Impact of COVID-19 in India using Deep Learning.- Role of Data Analytics in Bio Cyber Physical Systems.- Evolution of  Sentiment Analysis : Methodologies and Paradigms.- Healthcare Analytics: An advent to mitigate the risks and impacts of a Pandemic.- Image Classification for Binary Classes using Deep Convolutional Neural Network: An Experimental Study. 

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        Trends of Data Science and Applications